Software Open Access
Theoretical concepts of single particle tracking (SPT): an introduction for biologists
François J. Peaudecerf;
Margit S. Peaudecerf
This repository contains a Jupyter notebook presenting some background on single particle tracking (SPT) in cells, using as a support interactive simulations of random Brownian motion of microparticles. This material is aimed at an audience with a biological background and was originally developed for the Block Course of Spring 2021 at the Institute of Biochemistry, ETH Zürich, Switzerland.
This release of the repository links to a functional Binder for direct use of the interactive Jupyter notebook in an executable environment.
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(127.1 MB)
| Name | Size | |
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fpeaudecerf/intro_SPT_lecture-v1.0.0.zip
md5:23b7008f73d5cac8968b4adcddf018a1 |
127.1 MB | Download |
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| All versions | This version | |
|---|---|---|
| Views | 40 | 40 |
| Downloads | 4 | 4 |
| Data volume | 508.3 MB | 508.3 MB |
| Unique views | 35 | 35 |
| Unique downloads | 4 | 4 |
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- Publication date:
- February 24, 2021
- DOI:
-
- Keyword(s):
- Brownian motion single particle tracking cytosolic properties interactive simulations caged particle diffusion mean-square displacement teaching material
- Grants:
-
European Commission:
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BactoBubble - Microscale investigation of key bacterial phenotypes enhancing collection by rising bubbles and aerial dispersal (798411)
- NeuroFreezing - Biophysical Properties of the Neuronal Cytosol and their Dynamics upon Nutrient Starvation, Aging, and in Neurodegenerative Diseases. (844326)
-
BactoBubble - Microscale investigation of key bacterial phenotypes enhancing collection by rising bubbles and aerial dispersal (798411)
- Related identifiers:
- Supplement to
- License (for files):
- Other (Open)